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the Medical Research Council. The Research Fellow will be using Natural Language Processing (NLP) methods, with a special focus on generative Large Language Models (LLMs), to interrogate a very large sample of
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development of a newepilepsy research project jointly run by King’s College London and Swansea University and funded by the Medical Research Council. The Research Fellow will be using Natural Language
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the Medical Research Council. The Research Fellow will be using Natural Language Processing (NLP) methods, with a special focus on generative Large Language Models (LLMs), to interrogate a very large sample of
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in relevant models (such as LLMs), techniques or methods (such as multi-modal ML and speech processing) and ability to contribute to developing new ones Proficiency in Natural Language Processing and
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learning or natural language processing Knowledge of econometric methods for policy evaluation Experience developing indicators for policy tracking A research agenda in health and climate change
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Fellow will be using Natural Language Processing (NLP) methods, with a special focus on generative Large Language Models (LLMs), to interrogate a very large sample of Electronic Health Records from people
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future development of an ongoing epilepsy research project funded by the UK Epilepsy Research Institute. The Research Fellow will be using Natural Language Processing (NLP) methods, with a special focus on
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assistance and expert evidence in criminal and civil cases. Our diverse efforts are united by a common goal - improving the delivery of justice through the analysis of language. We are recruiting a Research
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the potential to impact on protected groups and take appropriate action. Desirable Skills: Experience with machine learning or natural language processing. Knowledge of econometric methods for policy evaluation
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complex information clearly European travel will be likely therefore a valid passport/visa will be required Proficiency in a second European language (German, Italian, Spanish, Dutch or Estonian) is